Electronic Theses and Dissertations

Date of Award

1-1-2021

Document Type

Dissertation

Degree Name

Ph.D. in Engineering Science

First Advisor

DAWN WILKINS

Second Advisor

ANA PAVEL

Relational Format

dissertation/thesis

Abstract

COVID-19 is one of the deadliest pandemics in the history of mankind and the infection and mortality rate to this date has been immense. There is several information and data available to analyze patient data regarding both deceased and non-severe patients. A vast amount of research and study is ongoing to understand the implications and cure for this disease. The main purpose of this paper is to find the correlation between inflammatory pathway markers and cardiometabolic markers of COVID-positive patients and to see which T-helper pathway markers are enriched and which markers have reduced count amongst three categories of patients.

Concentration/Emphasis

Computer Science

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